llm-ai
0
repo-onboarding
Repository onboarding and agent bootstrap. Use at the start of a new repo session or before any task to load AGENTS.md, architecture/skills indexes, and discover local Codex skills.
CheekyCodexConjurer
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
llm-ai
0
ai-output-validation
Ensures all AI-generated output fields have proper validation. Auto-activates on "AI 輸出", "LLM", "Gemini", "GPT", "truncate", "截斷" keywords. Lesson learned: 2026-01-08 Quick Feedback, Report, Deep Analyze truncation bugs.
Youngger9765
data-ai
llm-ai
0
qa-flow
Present structured multi-choice questions to users via MCP-based QA artifacts. Use when: (1) Need to ask user multiple structured questions, (2) Gathering preferences or requirements through multi-choice options, (3) Clarifying ambiguous instructions with structured choices, (4) Getting decisions on implementation choices. Triggers on: "UAUQ", "ask me questions", "I need to ask the user", "gather requirements", "clarify with user".
OhadRubin
data-ai
llm-ai
0
hello-world
A simple hello world skill that demonstrates how to create a basic Claude Code skill. Use when the user asks to say hello or test a basic skill.
shesha-io
data-ai
llm-ai
0
prompt-engineering
Use this skill when you writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts, improving LLM outputs, or designing production prompt templates.
ccf
data-ai
llm-ai
0
moai-ml-rag
Retrieval-Augmented Generation systems, vector databases, embedding strategies, and production RAG architectures for enterprise LLM applications. Use when building RAG, semantic search, or knowledge-aware AI systems.
jg-chalk-io
data-ai
llm-ai
0
generating-images
Generates images using Pollinations API. Validates model constraints and dimensions. Use for: image generation logic, model selection, constraint validation. DO NOT use for: video generation (use generating-videos), UI styling (use styling-ui).
Simplereally
data-ai
llm-ai
0
agentdb-advanced-features
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
adebold
data-ai
llm-ai
0
llm-provider-configuration
Skill for configuring OpenAI Agents SDK to work with alternative LLM providers using base URL and API key
syeda-hoorain-ali
data-ai
llm-ai
0
tech-debt-resolver
Loop automatizado de melhoria contínua que usa o Chat RAG para identificar débitos técnicos, implementa correções, reingere a base de conhecimento e valida até eliminar 100% dos débitos.
diegofornalha
data-ai
llm-ai
0
agent-sdk-definitions
Programmatic agent definitions for the Claude Agent SDK in TypeScript and Python. Use when creating agents for SDK-based applications rather than filesystem-based Claude Code.
mgd34msu
data-ai
llm-ai
0
agent-monitoring
Monitors background agents efficiently using local file reads instead of TaskOutput API calls. Use when running parallel background agents, checking agent progress, detecting completion status, or minimizing token usage during multi-agent orchestration.
mgd34msu
data-ai
llm-ai
0
offline-rl
Master CQL, IQL, BCQ - offline RL from fixed datasets without environment interaction
tachyon-beep
data-ai
llm-ai
0
backend-instance-creator
Creates a permanent backend instance for Claude Imagine. Use this skill when the user wants to set up a new persistent backend server.
t3rm1nu55
data-ai
llm-ai
0
llm-cost-optimization
Reduce LLM API costs without sacrificing quality. Covers prompt caching (Anthropic), local response caching, prompt compression, debouncing triggers, and cost analysis. Use when building LLM-powered features, analyzing API costs, optimizing prompts, or implementing caching strategies.
ebiyy
data-ai
llm-ai
0
context7-skill-generator
Automatically generates skills from Context7 MCP documentation responses
jovermier
data-ai
llm-ai
0
parallel-execution
Parallel execution patterns for cognitive reasoning tasks. Use when independent sub-problems can be solved simultaneously, multiple solution approaches need exploration, ensemble confidence is required, or time permits depth without sequential constraints. Integrates with ToT, BoT, HE, and AT for accelerated reasoning with fan-out/fan-in, MCTS-style search, and MoA aggregation patterns.
kimasplund
data-ai
llm-ai
0
skill-name
A clear description of what this skill does and when Claude should automatically invoke it
StackOneHQ
data-ai
llm-ai
0
agent-tool
Define tools for the support agent. Use when adding new capabilities like refund processing, license transfer, knowledge lookup, or any agent action.
skillrecordings
data-ai
llm-ai
0
spec-driven-dev-copilot
仕様駆動型開発スキル（Copilot版）。機能実装前に対話的なヒアリングで仕様を明確化し、implementation-plan.mdとtasks.mdを生成する。「機能を実装したい」「新しいコンポーネントを作りたい」「○○を追加したい」などの実装リクエスト時に使用。GitHub Copilot CLIによる自動レビューと修正ループで品質を担保する。
DIO0550
data-ai